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ICANN
2001
Springer
14 years 2 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss
NN
2007
Springer
13 years 9 months ago
Recurrent neural network modeling of nearshore sandbar behavior
The temporal evolution of nearshore sandbars (alongshore ridges of sand fringing coasts in water depths less than 10 m and of paramount importance for coastal safety) is commonly ...
Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ia...
ATAL
2006
Springer
14 years 1 months ago
Run-time model checking of interaction and deontic models for multi-agent systems
This paper is concerned with the problem of obtaining predictable interactions between groups of agents in open environments when individual agents do not expose their bdi logic. ...
Nardine Osman, David Robertson, Christopher Walton
AAAI
2006
13 years 11 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ECIR
2010
Springer
13 years 11 months ago
News Comments: Exploring, Modeling, and Online Prediction
Online news agents provide commenting facilities for their readers to express their opinions or sentiments with regards to news stories. The number of user supplied comments on a n...
Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke